package com.dsh.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.dsh.common.to.es.SkuEsModel;
import com.dsh.common.utils.R;
import com.dsh.search.config.GuliMallElasticSearchConfig;
import com.dsh.search.constant.EsConstant;
import com.dsh.search.feign.ProductFeignService;
import com.dsh.search.service.MallSerchService;
import com.dsh.search.vo.AttrResponseVo;
import com.dsh.search.vo.BrandVo;
import com.dsh.search.vo.SearchParam;
import com.dsh.search.vo.SearchResult;
import org.apache.lucene.search.TotalHits;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.NestedQueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.index.query.RangeQueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.Aggregation;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import org.springframework.util.StringUtils;

import javax.crypto.spec.IvParameterSpec;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSerchServiceImpl implements MallSerchService {


    @Autowired
    private RestHighLevelClient esRestClient;

    @Autowired
    ProductFeignService productFeignService;

    @Override
    public SearchResult search(SearchParam param) {
        //1.动态构建出查询需要的DSL语句
        SearchResult result = null;
        //1.准备检索请求
        SearchRequest searchRequest = buildSearchRequest(param);
        try {
            //2.执行检索请求
            SearchResponse response = esRestClient.search(searchRequest, GuliMallElasticSearchConfig.COMMON_OPTIONS);
            //3.分析相应数据封装成我们需要的格式
            result = buildSearchResult(response, param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    /**
     * 准备检索请求
     *
     * @param response
     * @return
     */
    private SearchResult buildSearchResult(SearchResponse response, SearchParam param) {

        SearchResult result = new SearchResult();
        //1. 返回所以查到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if (hits.getHits() != null && hits.getHits().length > 0) {
            for (SearchHit hit : hits.getHits()) {
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if (!StringUtils.isEmpty(param.getKeyword())) {
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.fragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);

        // 2.当前所有商品设计道德所有属性信息

        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            //得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            //得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            List<String> attrValue = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = item.getKeyAsString();
                return keyAsString;
            }).collect(Collectors.toList());
            //得到属性的聚合
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValue);
        }

        result.setAttrs(attrVos);
        // 3.当前所有商品设计道德所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();

        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1.得到品牌的id
            long brandId = bucket.getKeyAsNumber().longValue();
            //1.得到品牌的名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //1.得到品牌的图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();

            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);

            result.getAttrIds().add(brandId);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);
        // 4.当前所有商品设计道德所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();

        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        for (Terms.Bucket bucket : buckets) {
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            //得到分类id
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);

        // 5. 分页信息 页码
        result.setPageNum((long) param.getPageNum());
        // 5. 分页信息 总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        // 5. 分页信息 总页码
        int totalPages = (int) total % EsConstant.PRODUCT_PAGESIZE == 0 ? (int) total / EsConstant.PRODUCT_PAGESIZE : ((int) total / EsConstant.PRODUCT_PAGESIZE + 1);

        result.setTotalPages(totalPages);
        List<Integer> pageNavs = new ArrayList<>();
        for (int i = 0; i <= totalPages; i++) {
            pageNavs.add(i);
        }

        result.setTotalPages(totalPages);


        List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
            SearchResult.NavVo navVo = new SearchResult.NavVo();

            String[] split = attr.split("-");
            navVo.setNavName(split[1]);
            R r = productFeignService.attrsInfo(Long.parseLong(split[0]));
            if (r.getCode() == 0) {
                AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                });
                navVo.setNavName(data.getAttrName());
            } else {
                navVo.setNavName(split[0]);
            }
            // 2. 取消了这个面包屑之后 要跳转到那个地方 ，将当前如来置空

            String replace = replaceQueryString(param, attr,"attrs");
            navVo.setLink("http://search.gulimall.com/list.html?" + replace);
            return navVo;
        }).collect(Collectors.toList());
        result.setNavs(collect);


        //品牌分类面包屑导航
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            List<SearchResult.NavVo> navs = new ArrayList<>();
            SearchResult.NavVo  navVo = new SearchResult.NavVo();
            navVo.setNavName("品牌");
            R r = productFeignService.brandsInfo(param.getBrandId());
            if (r.getCode() == 0) {
                List<BrandVo> brand = r.getData("brand", new TypeReference<List<BrandVo>>() {
                });
                StringBuilder builder = new StringBuilder();
                String replace = "";
                for (BrandVo brandVo : brand) {
                    builder.append(brandVo.getBrandName() + ";");
                    replace = replaceQueryString(param, brandVo.getBrandId() + "", "brandId");
                }
                navVo.setNavValue(builder.toString());
                navVo.setLink("http://search.gulimall.com/list.html?" + replace);
            }
            navs.add(navVo);
        }



        return result;
    }

    private String replaceQueryString(SearchParam param, String value,String key) {
        String encode = null;
        try {
            encode = URLEncoder.encode(value, "UTF-8");
            encode.replace("+", "%20");  //浏览器对空格的编码和Java不一样，差异化处理
        } catch (UnsupportedEncodingException e) {
            e.printStackTrace();
        }
        String replace = param.get_queryString().replace("&"+key+"=" + encode, "");
        return replace;
    }

    /**
     * 准备检索请求
     *
     * @return SearchRequest
     */
    private SearchRequest buildSearchRequest(SearchParam param) {
        SearchSourceBuilder searchBuilder = new SearchSourceBuilder();
        /**
         * 查询 ：
         */
        //1构建 bool - query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
        //1.1 must- 模糊匹配
        if (!StringUtils.isEmpty(param.getKeyword())) {
            boolQuery.must(QueryBuilders.matchQuery("skuTitle", param.getKeyword()));
        }
        //1.2 bool - filter 按照三级分类i
        if (param.getCatalog3Id() != null) {
            boolQuery.filter(QueryBuilders.termQuery("catalogId", param.getCatalog3Id()));
        }
        // 1.2 按照品牌id 进行查询 && 并且 || 或者
        if (param.getBrandId() != null && param.getBrandId().size() > 0) {
            boolQuery.filter(QueryBuilders.termQuery("brandId", param.getBrandId()));
        }
        // 1.2 按照属性查询
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            for (String attrStr : param.getAttrs()) {
                BoolQueryBuilder nestedBoolQuery = QueryBuilders.boolQuery();

                String[] s = attrStr.split("_");
                String attrId = s[0];//检索的id
                String[] attrValue = s[1].split(":");//检索的值

                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                nestedBoolQuery.must(QueryBuilders.termQuery("attrs.attrValue", attrValue));
                NestedQueryBuilder nestedQuery = QueryBuilders.nestedQuery("attr", nestedBoolQuery, ScoreMode.None);
                boolQuery.filter(nestedQuery);
            }
        }

        // 1.2 按照库存是否有进行查询  0 无 1有
        boolQuery.filter(QueryBuilders.termQuery("hasStock", param.getHasStock() == 1));
        // 1.2 按照价格区间查询
        if (!StringUtils.isEmpty(param.getSkuPrice())) {
            //1_500   _500   500_)
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("-");
            if (s.length == 2) {
                //区间
                rangeQuery.gte(s[0]).lte(s[1]);
            } else if (s.length == 1) {
                if (param.getSkuPrice().startsWith("_")) {
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")) {
                    rangeQuery.gte(s[1]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        //上面的所以查询条件封装
        searchBuilder.query(boolQuery);


        /**
         * 排序 分页 高亮
         */
        //2.1排序
        if (!StringUtils.isEmpty(param.getSort())) {
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc") ? SortOrder.ASC : SortOrder.DESC;
            searchBuilder.sort(s[0], order);
        }

        //2.2 分页
        searchBuilder.from((param.getPageNum() - 1) * EsConstant.PRODUCT_PAGESIZE);
        searchBuilder.size(EsConstant.PRODUCT_PAGESIZE);
        //2.2高亮
        if (!StringUtils.isEmpty(param.getKeyword())) {
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle").preTags("<b style='color:red'>").postTags("</b>");
            searchBuilder.highlighter(builder);
        }
        /**
         * 聚合分析
         */
        // 1. 品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brabdId").size(50);

        // 品牌聚合的子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        searchBuilder.aggregation(brand_agg);

        //分类聚合 catalog
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        searchBuilder.aggregation(catalog_agg);
        //属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //聚合分析出当前attr_id 对应的名字
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //聚合分析出当前attr_id 对应的所以可能值
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrs.attrName").size(1));
        attr_id_agg.subAggregation(AggregationBuilders.terms("attrs.value_agg").field("attrs.attrs.attrName").size(50));
        attr_agg.subAggregation(attr_id_agg);
        searchBuilder.aggregation(attr_agg);

        String s = searchBuilder.toString();
        System.out.println("构建的DSL" + s);
        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, searchBuilder);

        return searchRequest;

    }
}
